Summary information

Study title

EUvox2014: Voting Advice Application data for the 2014 European Parliament elections

Creator

Mendez, Fernando (University of Zürich)

Study number / PID

10.7802/1750 (GESIS)

10.7802/1750 (DOI)

Data access

Information not available

Series

Not available

Abstract

EUvox2014 was a Voting Advice Application (VAA) operating during the pre-electoral period of the 2014 European Parliament elections. VAAs are online platforms developed and published online in periods before elections with the purpose of providing prospective voters with information concerning their proximity to competing political parties, given their policy preferences. Users are able to visit these platforms and, after providing their agreement or disagreement with a number of policy statements, they are provided with measures of proximity to political parties or candidates, on the basis of the latter’s programmatic positions or estimates thereof. The dataset available in the present file contains responses of individual users to a number of questions that can be summarised into 6 categories: a) demographics, b) politics-related questions (e.g. vote intention), c) self-placement of users and parties on 3 axes: economic values (Left - Right), social values (Progressive – Cosnervative) and EU-integration (Pro – Against), d) Probability To Vote for competing parties, e) Policy preferences, f) Questions asked following the presentation of the results of the VAA to the user. Additionally encoded and included in the datasets are para- and meta-data, e.g. time and date of completion, web-browser used, response times for questions etc.

Topics

Not available

Keywords

Not available

Methodology

Data collection period

25/05/2014 - 24/04/2018

Country

Time dimension

Not available

Analysis unit

Not available

Universe

population with internet access

Sampling procedure

Self selected sample

Kind of data

Not available

Data collection mode

Self-administered questionnaire:CAWI(Computer-assisted web interviewing)

Access

Publisher

GESIS Data Archive for the Social Sciences

Publication year

2018

Terms of data access

Free access (with registration) - The research data can be downloaded by registered users. CC BY-NC-SA 4.0: Namensnennung - Nicht kommerziell – Weitergabe unter gleichen Bedingungen (http://creativecommons.org/licenses/by-nc-sa/4.0/deed.de)

Related publications

Not available